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Implementation of Automatic Speech Recognition for Hindi Language

Author(s):

Mihir Tandel , Thakur College of Engineering and Technology ; Harshit Savani, Thakur College of Engineering and Technology ; Chirag Shetty, Thakur College of Engineering and Technology

Keywords:

Automatic Speech Recognition, Feature Extraction, Classifiers, HMM, MFCC, Hindi Language, Isolated Word Vocabulary

Abstract

Technology is advancing so fast that we cannot live a day without using it. We now want machines to communicate with humans and solve their problems according to their needs. Humans are fascinated by machines that can understand us. Speech is hand-free, fast, easy and does not require any technical knowledge. Speech recognition and processing has received a lot of attention during the last few decades. Speech recognition has been an important area of research. Many applications of speech recognition had been employed in different fields like in telephony, medical or command and control area. For years people have tried to develop machines that can understand and produce speech as humans do naturally. The first speech recognition system could understand only digits, but now, the technology is developed such that speech recognition system can easily be able to recognise any language. A lot of attempts have been made to develop such vocally interactive computers to realize voice/speech recognition systems.

Other Details

Paper ID: IJSRDV7I21442
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 1905-1907

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